TY - GEN
T1 - Investigation on Monitoring Personal Health via Internet of Things-Based Wearable Device
AU - Ngo, Ha Quang Thinh
AU - Nguyen, Le Dung
AU - Huynh, Phat K.
AU - Le, Trung Q.
AU - Yan, Jiwang
PY - 2024
Y1 - 2024
N2 - In our era, smart clothes for personal health monitoring in home care is a promising and innovative approach. These clothes are integrated with sensors and electronic devices that could follow vital signs, levels of activities, and other health metrics. Therefore, in this paper, the design of such smart clothes and their potential applications are presented to realize the novel concept in the healthcare service. Using various sensors, it is expected to obtain the health parameters or habitual activities of patients, while this cloth still maintains personal comfortability. Then, data is collected and transmitted via wireless communication to host server. Owing to this design, several algorithms could be deployed to predict any abnormal health status. Additionally, this approach could reduce the burden care from medical staff or nurses who are in the over-work circumstance. From this achievement, the potential applications of smart clothes on healthcare and the future research directions could be outlined clearly in the related fields.
AB - In our era, smart clothes for personal health monitoring in home care is a promising and innovative approach. These clothes are integrated with sensors and electronic devices that could follow vital signs, levels of activities, and other health metrics. Therefore, in this paper, the design of such smart clothes and their potential applications are presented to realize the novel concept in the healthcare service. Using various sensors, it is expected to obtain the health parameters or habitual activities of patients, while this cloth still maintains personal comfortability. Then, data is collected and transmitted via wireless communication to host server. Owing to this design, several algorithms could be deployed to predict any abnormal health status. Additionally, this approach could reduce the burden care from medical staff or nurses who are in the over-work circumstance. From this achievement, the potential applications of smart clothes on healthcare and the future research directions could be outlined clearly in the related fields.
UR - https://dx.doi.org/10.1007/978-3-031-60154-5_44
U2 - 10.1007/978-3-031-60154-5_44
DO - 10.1007/978-3-031-60154-5_44
M3 - Conference contribution
BT - EAI International Conference on Renewable Energy and Sustainable Manufacturing
PB - Springer Science and Business Media Deutschland GmbH
ER -